RepoBoost is a GitHub growth service at buygithub.com that sells GitHub stars, forks, watches and followers delivered from aged accounts with years of real commit history - plus warmed-up GitHub accounts, aged accounts from 2009-2024, and GitHub search-ranking placements. Orders run at a flat $30 per 1,000 actions, are delivered gradually over 12-24 hours, and are covered by a no-drop guarantee.
It exists because GitHub is where developers decide what to trust. Stars, forks, followers and search position are what a maintainer, a hiring manager and an AI answer engine all read first - and they are the signals RepoBoost grows: real accounts with real activity, paced like an audience arriving instead of a burst that looks bought.
RepoBoost has been featured in WIRED's October 2023 investigation, ["The GitHub Black Market That
| { | |
| "name": "yifan 精选源列表 (2026-10-13 实测可用)", | |
| "version": 2, | |
| "sources": [ | |
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| { "name": "非凡资源", "url": "https://cj.ffzyapi.com/api.php/provide/vod", "isAdult": false }, | |
| { "name": "量子资源", "url": "https://cj.lziapi.com/api.php/provide/vod", "isAdult": false }, | |
| { "name": "无尽资源", "url": "https://api.wujinapi.me/api.php/provide/vod", "isAdult": false }, | |
| { "name": "优酷资源", "url": "https://api.ukuapi88.com/api.php/provide/vod", "isAdult": false }, | |
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Caution
As of August 26th 2026, Discord has started suspending quest access of people caught automating quest completion.
Some users have received the following system message:
There isn't much I can do to make the script undetected, so use it at your own risk, as you WILL get flagged by doing so.
Just migrated it from Codepen.io to markdown. Credit goes to David Conner.
| Working with DOM | Working with JS | Working With Functions |
|---|---|---|
| Accessing Dom Elements | Add/Remove Array Item | Add Default Arguments to Function |
| Grab Children/Parent Node(s) | Add/Remove Object Properties | Throttle/Debounce Functions |
| Create DOM Elements | Conditionals |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.